The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity． The first and foremost question needed to be considered in clustering W b sessions is how to measure the similarity between Web sessions．However．there are many shortcomings in traditiona1 measurements．This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited web page．Yhen we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e幣cient．
標(biāo)簽： sessions clustering similarity Web
上傳時(shí)間： 2014-01-11
上傳用戶：songrui
使用MFC實(shí)現(xiàn)編譯原理詞法分析器，里面包括求first集和follow集
上傳時(shí)間： 2016-08-10
上傳用戶：lz4v4
This is a simple GPS tracer developed for Window Mobile 2005/2003 on Compact Framework 2.0 SDK. So first of all, you need VisualStudio 2005 and Windows Mobile CE 5 SDK. You can develop it on emulator devices or on a real device. As you can see in that photo, I developed that application on a read device: the great Asus MyPal 636N.
標(biāo)簽： Framework developed Compact Mobile
上傳時(shí)間： 2016-08-11
上傳用戶：gxf2016
LL1文法的實(shí)現(xiàn)，先輸入語(yǔ)法規(guī)則，之后求出FIRST和FOLLOW,最后給出預(yù)測(cè)分析表。
標(biāo)簽： LL1
上傳時(shí)間： 2013-12-28
上傳用戶：q123321
FASTICA can be called with numerous optional arguments. Optional arguments are given in parameter pairs, so that first argument is the name of the parameter and the next argument is the value for that parameter. Optional parameter pairs can be given in any order.
標(biāo)簽： arguments parameter Optional numerous
上傳時(shí)間： 2014-08-18
上傳用戶：2525775
Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標(biāo)簽： experimental generation advances enormous
上傳時(shí)間： 2016-10-23
上傳用戶：wkchong
Written for embedded systems programmers and engineers, as well as networking professionals, this in-depth guide provides an inside look at the entire process of implementing and using the Linux TCP/IP stack in embedded systems projects.
標(biāo)簽： professionals programmers networking engineers
上傳時(shí)間： 2016-10-24
上傳用戶：小碼農(nóng)lz
譚浩強(qiáng)C課件，tanhaoqiang C,first part
標(biāo)簽： 譚浩強(qiáng)
上傳時(shí)間： 2014-02-10
上傳用戶：l254587896
If you are using Internet Explorer on Windows XP Service Pack 2, there is a security restriction disallowing scripts to run in files opened on your local machine. When you first try to run the examples, you will most likely get a message saying, "To help protect your security, Internet Explorer has restricted this file from showing active content that could access your computer." To see the example, you must click on the message and select "Allow Blocked Content". JavaScript高級(jí)程序設(shè)計(jì) 里面自代源碼
標(biāo)簽： restriction Explorer Internet security
上傳時(shí)間： 2016-11-18
上傳用戶：源弋弋
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標(biāo)簽： performance likelihood decision feedback
上傳時(shí)間： 2013-11-25
上傳用戶：1079836864
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